Understanding Complex Systems: From Networks to Optimal Higher-Order Models

Higher-order Markov flows
Higher-order Markov flows

Renaud Lambiotte, Martin Rosvall, and Ingo Scholtes

Rich data are revealing that complex dependencies between the nodes of a network may not be captured by models based on pairwise interactions. Higher-order network models go beyond these limitations, offering new perspectives for understanding complex systems.

Nature Physics 15, 313–320 (2019)
arXiv:1806.05977

 

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